Future-proofing nursing education in Nigeria based on preparing human resources for artificial intelligence-driven healthcare systems and emerging challenges: A mixed-method study

The integration of artificial intelligence (AI) into healthcare systems presents both opportunities and challenges for nursing education in Nigeria. This paper examines the current state of nursing education and explores strategies to future-proof it against the rapid advancements in AI-driven healthcare. The study highlights gaps in curricula, technological readiness, and policy frameworks while proposing recommendations for aligning nursing education with emerging healthcare demands. A mixed-method approach was employed, incorporating literature reviews, expert interviews, and policy analysis. Findings suggest that Nigeria’s nursing education system requires urgent reform, including the integration of AI literacy, digital skills training, and interdisciplinary collaboration. The paper concludes with actionable recommendations for policymakers, educators, and healthcare stakeholders to ensure a resilient nursing workforce in an AI-driven future.